Opportunity Information: Apply for M24AS00417

GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds is a Bureau of Ocean Energy Management (BOEM) discretionary funding opportunity focused on improving how protected bird species are found, identified, and reported from high-resolution aerial imagery collected over the Gulf of Mexico. The core idea is to modernize and streamline wildlife monitoring in offshore and nearshore areas where energy development is happening now or is expected in the future, so that agencies and stakeholders can make better-informed decisions using faster, more consistent data products.

The project centers on building state-of-the-art automated detection and classification methods using artificial intelligence and machine learning, specifically deep learning computer vision approaches that can recognize animals in complex aerial photos. BOEM and its partners want to develop algorithms that can reliably locate and classify important protected species in imagery, reducing the need for purely manual review and improving consistency across large survey datasets. The aerial imagery that these models will analyze is being collected by the US Fish and Wildlife Service (USFWS) under a separate agreement, meaning this effort is primarily about turning those raw images into actionable biological information through advanced analytics rather than running the image-collection flights themselves.

A second major deliverable is a public-facing, web-based visualization tool. BOEM is looking for a platform that can provide clear status updates and accessible outputs related to USFWS and BOEM remote-sensing and aerial-imagery surveys in the Gulf of Mexico. The intent is that this tool becomes a practical, ongoing resource for a wide range of users, including federal and state agencies, researchers, industry participants, and the general public. By consolidating survey progress information and making results easier to view and interpret, the tool would help people track what has been surveyed, where work is underway, and what the most current findings show, particularly in areas tied to offshore energy planning and operations.

The planned timeline is five years, with two headline outcomes expected over that period: (1) advanced AI/ML detection and classification algorithms capable of analyzing USFWS aerial imagery from the Gulf of Mexico for protected species, and (2) a web-based tool that shares survey results and supports transparency and situational awareness around ongoing aerial monitoring. Taken together, the work is aimed at improving both the technical backbone (automated image analysis) and the communication layer (visualization and reporting) of protected bird monitoring in the region.

From an administrative standpoint, the opportunity is listed under Funding Opportunity Number M24AS00417, uses a Cooperative Agreement funding instrument, and falls under the Environment activity category (CFDA 15.423). The posted award ceiling is $350,000, the original closing date is 2024-09-02, and the opportunity is described as a single-source cooperative agreement specifically intended for the University of Florida, which is a member institution of the Gulf Coast Cooperative Ecosystem Studies Units. This structure indicates BOEM expects substantial collaboration during project execution and has already identified the intended implementing partner rather than running a fully open competition for multiple applicants.

  • The Bureau of Ocean Energy Management in the environment sector is offering a public funding opportunity titled "GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.423.
  • This funding opportunity was created on 2024-07-31.
  • Applicants must submit their applications by 2024-09-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $350,000.00 in funding.
  • Eligible applicants include: Others.
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